Platform Engineer II

Job Summary

Data Engineer - 5-8 years experience

Key Responsibilities

• Build and Optimize ELT/ETL Pipelines using BigQuery, GCS, Dataflow, PubSub and Orchestration services Composer/Airflow
• Hands-On experience in building ETL/ELT Pipelines with developing software code in Python
• Experience in working with data warehouses, data warehouse technical architectures, reporting/analytic tools
• Develop and implement data quality and governance procedures to ensure the accuracy and reliability of data
• Demonstrate extensive skills and success in the implementation of technology projects within a professional environment, with a particular focus on data engineering
• Eager to learn and explore new services within GCP to enhance skills and contribution to Projects
• Demonstrated excellent communication, presentation, and problem-solving skills.
• Prior Experience in ETL tool such as DBT,Talend Etc

Skill Requirements

Technical / Functional Skills:-

• Knowledge in architecture principles, guidelines and standards

• Data Warehousing
• Programming Language: Python, SQL
• Big Data
• Data Analytics
• Experience in Building Streaming and Batch data pipelines with GCP services

Experience in designing & implementing solution in mentioned areas:

Cloud Storage, BigQuery, Data Flow, DataProc,

PubSub,Data Fusion,Cloud Function,Composer etc

Good to have skills

• AI/ML,Gen AI Backgroud
• IAM, Cloud Logging and Monitoring
• The Data Engineer coaches the junior data engineering personnel position by bringing them up to speed and help them get better understanding of overall Data ecosystem.
• Working Experience with Agile methodologies and CI/CD Tools like Terraform/Jenkins
• Working on Solution deck, IP build, client meetings on requirement gathering

Other Requirements

Core Competencies (Soft Skills):- Strong communication & presentation- Analytical, client-first mindset- Leadership & stakeholder management- Ability to work in global, fast-paced environment.